S. Kudo
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Vascular Malformations Diagnosis and Treatment
- Rheumatology top 10%
- Moyamoya disease diagnosis and treatment
Papers in
- Neurology 16
- Intracranial Aneurysms: Treatment and Complications 10
- Vascular Malformations Diagnosis and Treatment 7
- Intracerebral and Subarachnoid Hemorrhage Research 3
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- Cerebrovascular and Carotid Artery Diseases 5
- Renal cell carcinoma treatment 3
- Co-authors
- Akira Uchino (15 shared papers)Yukari Takase (12 shared papers)Amami Kato (6 shared papers)Akira Kato (3 shared papers)Atsushi Sawada (4 shared papers)Takahiko Nakazono (3 shared papers)Ryoko Egashira (3 shared papers)Motohiro Yukitake (1 shared paper)
In The Last Decade
S. Kudo
38 papers receiving 671 citations
Peers
Comparison fields: 5 of 70
- Neurology 319
- Rheumatology 100
- Pathology and Forensic Medicine 119
- Pulmonary and Respiratory Medicine 207
- Reproductive Medicine 35
Countries citing papers authored by S. Kudo
This map shows the geographic impact of S. Kudo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kudo more than expected).
Fields of papers citing papers by S. Kudo
This network shows the impact of papers produced by S. Kudo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Kudo. The network helps show where S. Kudo may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Kudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 68 | |
| 2 | 2007 | 57 | |
| 3 | 2000 | 53 | |
| 4 | 2004 | 50 | |
| 5 | 1999 | 35 | |
| 6 | 2000 | 34 | |
| 7 | 1997 | 33 | |
| 8 | 2005 | 31 | |
| 9 | Basilar artery fenestrations detected by MR angiography. | 2001 | 31 |
| 10 | 1987 | 28 | |
| 11 | 2001 | 27 | |
| 12 | 2001 | 27 | |
| 13 | 1997 | 26 | |
| 14 | 2005 | 24 | |
| 15 | 2000 | 23 | |
| 16 | 1986 | 19 | |
| 17 | 2002 | 16 | |
| 18 | 2010 | 16 | |
| 19 | 1997 | 15 | |
| 20 | 2002 | 11 |
About S. Kudo
S. Kudo is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Rheumatology, having authored 40 papers that have together received 695 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (10 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Renal cell carcinoma treatment (3 papers), Meningioma and schwannoma management (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Moyamoya disease diagnosis and treatment (3 papers). The work is most often cited by research in Neurology (319 citations), Rheumatology (100 citations), Pathology and Forensic Medicine (119 citations), Pulmonary and Respiratory Medicine (207 citations) and Reproductive Medicine (35 citations). S. Kudo has collaborated with scholars based in Japan and Germany. Frequent co-authors include Akira Uchino, Yukari Takase, Amami Kato, Akira Kato, Atsushi Sawada, Takahiko Nakazono, Ryoko Egashira, Motohiro Yukitake, Yoshitomo Matsuo and Keita Nomiyama. Their work appears in journals such as European Radiology, Neuroradiology, Skeletal Radiology, American Journal of Roentgenology and Neuropediatrics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.